{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5f235929-c00c-4aae-9341-42168af40b88",
   "metadata": {},
   "source": [
    "## 空间过滤"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa49a2d6-2e99-40aa-a737-f3ad65751422",
   "metadata": {},
   "source": [
    "#### 如果说按照属性筛选要素是带有数据库特征的话，那么，根据空间位置的筛选就是纯GIS了。在OGR中，使用了Spatial filters（空间过滤）这一术语表征这一功能。OGR提供的空间过滤功能有两种：\n",
    "\n",
    "- 一种是SetSpatialFilter(geom)—过滤某一类型的Feature，如参数中的Polygon，效用就是选出Layer中的所有Polygon覆盖的要素（注意，只要相交即可，不必完全包含）。\n",
    "- 还有 SetSpatialFilterRect(<minx>, <miny>, <maxx>, <maxy>) 参数，可输入四个坐标选中矩形内的要素。"
   ]
  },
  {
   "attachments": {
    "6df06b66-5ff5-4298-9ed5-1a90b5436bbd.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "8daec87a-f8b7-4ddd-9ce9-f017dd4fa381",
   "metadata": {},
   "source": [
    "![image.png](attachment:6df06b66-5ff5-4298-9ed5-1a90b5436bbd.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42942df6-1d17-4884-b9f1-07f1207fc545",
   "metadata": {},
   "source": [
    "### 图层生成shp数据的函数 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ad78a02e-b801-44e3-b05a-84a8780d32bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入包\n",
    "from osgeo import ogr\n",
    "import os\n",
    "def create_shp_by_layer(outputfile, layer):\n",
    "     if os.access(outputfile, os.F_OK):\n",
    "         driver.DeleteDataSource(outputfile)\n",
    "     newds = driver. CreateDataSource ( outputfile )\n",
    "     pt_layer = newds.CopyLayer ( layer, '')\n",
    "     newds.Destroy ()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "159e5c66-db62-4e2f-9e8f-674cdb9a50d5",
   "metadata": {},
   "source": [
    "### 打开shp数据及图层"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8ff53cca-38cd-4199-8f02-f170eeb37c5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\GitHub\\GeoBigDataPy313\\.venv\\Lib\\site-packages\\osgeo\\ogr.py:601: FutureWarning: Neither ogr.UseExceptions() nor ogr.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "driver = ogr.GetDriverByName(\"ESRI Shapefile\")\n",
    "A_shp = r\"data/JianghanPlain_C.shp\"\n",
    "B_shp = r\"data/JH_SpatialFilter.shp\"\n",
    "A_shp_ds = ogr.Open(A_shp)\n",
    "B_shp_ds = ogr.Open(B_shp)\n",
    "A_shp_layer = A_shp_ds.GetLayer(0)\n",
    "B_shp_layer = B_shp_ds.GetLayer(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3a1050ae-6cd4-4478-90ee-26cbcd48db23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A_shp_layer.GetFeatureCount()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c8802018-0909-48ed-9d60-15dc6517a773",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "B_shp_layer.GetFeatureCount()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98757631-f926-4e1c-ae85-9282a41df32e",
   "metadata": {},
   "source": [
    "### 过滤图层的空间范围获取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "60ab039e-b468-4851-a7c5-d0102b49574c",
   "metadata": {},
   "outputs": [],
   "source": [
    "B_shp_feats = B_shp_layer.GetNextFeature()\n",
    "B_shp_poly = B_shp_feats.GetGeometryRef()\n",
    "A_shp_layer.SetSpatialFilter(B_shp_poly)\n",
    "out_shp = r'data/sample1m.shp'\n",
    "create_shp_by_layer(out_shp, A_shp_layer)"
   ]
  },
  {
   "attachments": {
    "87da1030-e639-4d09-bd19-8875316aa85e.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "11b026c4-f4d1-46dd-826b-e129b317be28",
   "metadata": {},
   "source": [
    "### 选中有交集的要素输出结果\n",
    "- 这里需要注意**并不是**交集【intersect】\n",
    "- 只是B要素与A要素相交后，求出A的全部相交要素，A要素中相交的部分还是完整的\n",
    "- \n",
    "![image.png](attachment:87da1030-e639-4d09-bd19-8875316aa85e.png)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
